Artificial intelligence in medicine
The European Society for Artificial Intelligence in Medicine (AIME) was established in 1986
following a very successful workshop held in Pavia, Italy, the year before. The principal aims …
following a very successful workshop held in Pavia, Italy, the year before. The principal aims …
Machine learning techniques and drug design
The interest in the application of machine learning techniques (MLT) as drug design tools is
growing in the last decades. The reason for this is related to the fact that the drug design is …
growing in the last decades. The reason for this is related to the fact that the drug design is …
Applications of machine learning in cancer prediction and prognosis
JA Cruz, DS Wishart - Cancer informatics, 2006 - journals.sagepub.com
Machine learning is a branch of artificial intelligence that employs a variety of statistical,
probabilistic and optimization techniques that allows computers to “learn” from past …
probabilistic and optimization techniques that allows computers to “learn” from past …
The experimentalist's guide to machine learning for small molecule design
Initially part of the field of artificial intelligence, machine learning (ML) has become a
booming research area since branching out into its own field in the 1990s. After three …
booming research area since branching out into its own field in the 1990s. After three …
Prediction of human breast and colon cancers from imbalanced data using nearest neighbor and support vector machines
This study proposes a novel prediction approach for human breast and colon cancers using
different feature spaces. The proposed scheme consists of two stages: the preprocessor and …
different feature spaces. The proposed scheme consists of two stages: the preprocessor and …
Application of artificial intelligence-based technology in cancer management: a commentary on the deployment of artificial neural networks
Artificial intelligence was recognised many years ago as a potential and powerful tool to
predict disease outcome in many clinical situations. The conventional approaches using …
predict disease outcome in many clinical situations. The conventional approaches using …
Application of machine learning models for survival prognosis in breast cancer studies
The application of machine learning models for prediction and prognosis of disease
development has become an irrevocable part of cancer studies aimed at improving the …
development has become an irrevocable part of cancer studies aimed at improving the …
Molecular aspects of diagnostic nucleolar and nuclear envelope changes in prostate cancer
AH Fischer, S Bardarov Jr… - Journal of cellular …, 2004 - Wiley Online Library
Prostate cancer is still diagnosed by pathologists based on subjective assessment of altered
cell and tissue structure. The cellular‐level structural changes diagnostic of some forms of …
cell and tissue structure. The cellular‐level structural changes diagnostic of some forms of …
Reporting and methodological quality of survival analysis in articles published in Chinese oncology journals
X Zhu, X Zhou, Y Zhang, X Sun, H Liu, Y Zhang - Medicine, 2017 - journals.lww.com
Survival analysis methods have gained widespread use in the filed of oncology. For
achievement of reliable results, the methodological process and report quality is crucial. This …
achievement of reliable results, the methodological process and report quality is crucial. This …
A genetic algorithm model based on artificial neural network for prediction of the axillary lymph node status in breastcancer
Axillary Lymph Node (ALN) status is an extremely important factor to assess metastatic
breast cancer. Surgical operations which may be necessary and cause some adverse …
breast cancer. Surgical operations which may be necessary and cause some adverse …